Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
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Article Number | 04005 | |
Number of page(s) | 5 | |
Section | Transactions | |
DOI | https://doi.org/10.1051/itmconf/20246904005 | |
Published online | 13 December 2024 |
Performance comparison of different algorithms to secure the information for Wireless sensor Network
1 Laboratory of Electronics Systems, Information Processing, Mechanics and energetic, faculty of sciences, Ibn Tofail University, Campus Universitaire, BP 13, Kenitra, Morocco
2 Team Renewable Energies, Information Processing and Transmission Laboratory, Department of Engineering Sciences, Faculty of Sciences and Techniques Errachidia, Moulay Ismaïl University of Meknès, B.P. 509, Boutalamine, Errachidia, Morocco
3 Research Team in Thermal and Applied Thermodynamics (2.T.A.), Mechanics, Energy Efficiency and Renewable Energies Laboratory, (L.M.3.E.R.). Department of Engineering Sciences, Faculty of Sciences and Techniques Errachidia, B.P. 509, Boutalamine, Errachidia, Morocco
* Corresponding author: oumayma.elgatte@uit.ac.ma
In WSNs “Wireless Sensor Network” and ad hoc networks, efficient and secure routing protocols are essential to ensure reliable communication and optimal resource utilization. Cluster-based routing is organizing the network into clusters, a designated cluster head manages each cluster, which improves scalability and reduces routing overhead. This approach is highly effective in balancing energy consumption and extending network lifetime, particularly in large-scale networks. Conversely, trust-based routing protocols establishing trust metrics for each node, which are used to make routing decisions in order to prioritize security. This method mitigates the risk of attacks by identifying and isolating malicious nodes, thereby ensuring the integrity and confidentiality of data transmission. The integration of blockchain technology with convolutional neural networks (CNNs) represents a promising frontier in decentralized artificial intelligence (AI). However, this fusion has led to considerable security within both the blockchain and AI communities. Through a detailed comparison of these methodologies, this paper highlights their respective advantages, limitations, and potential applications in term of security and energy. The findings suggest that while cluster-based routing is well-suited for energy-efficient networks with stable topologies, trust-based routing offers superior security features, making it ideal for environments with higher risks of node compromise, and the blockchain associated to the CNN ensure a high security.
Key words: Wireless Sensor Network (WSN) / Convolutional Neural Network (CNN) / Cluster-based routing / Trust-based routing / Blockchain
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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